Decision-making in bus-transit systems: A comprehensive approach based on stochastic multi-criteria acceptability analysis

The shift to sustainable transportation presents challenges regarding the acquisition or replacement of bus fleets. The need to consider multiple, conflicting and incommensurate factors such as environmental impact, cost-effectiveness, and technological issues makes the decision-making process more...

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Main Authors: Jônatas Augusto Manzolli, Pascal Messier, João Pedro F. Trovão, Carlos Henggeler Antunes
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Sustainable Futures
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666188825002217
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author Jônatas Augusto Manzolli
Pascal Messier
João Pedro F. Trovão
Carlos Henggeler Antunes
author_facet Jônatas Augusto Manzolli
Pascal Messier
João Pedro F. Trovão
Carlos Henggeler Antunes
author_sort Jônatas Augusto Manzolli
collection DOAJ
description The shift to sustainable transportation presents challenges regarding the acquisition or replacement of bus fleets. The need to consider multiple, conflicting and incommensurate factors such as environmental impact, cost-effectiveness, and technological issues makes the decision-making process more complex, time-consuming, and possibly ineffective, thus requiring an adequate multi-criteria evaluation framework. To this end, this study employs the stochastic multi-criteria acceptability analysis method, assessing the feasibility of transitioning to eco-friendly bus fleets by comparing diesel, hybrid, and electric buses while addressing uncertainty. Using the bus transportation system of Sherbrooke (Canada) as a case study, computational simulations generate energy consumption data and define bus system configurations. The case study evaluates five concrete alternatives over twelve criteria. The results show that an electric bus system with an overnight charging strategy outperforms other options (in 32 % of the cases) due to its reliability, cost-effectiveness, and mixed use of the bus fleet. Conversely, the diesel bus alternative consistently ranks lowest due to poor performance on economic and environmental criteria.
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series Sustainable Futures
spelling doaj-art-5d65b39d22a642f2b92038ec908ddd1b2025-08-20T03:31:20ZengElsevierSustainable Futures2666-18882025-06-01910065310.1016/j.sftr.2025.100653Decision-making in bus-transit systems: A comprehensive approach based on stochastic multi-criteria acceptability analysisJônatas Augusto Manzolli0Pascal Messier1João Pedro F. Trovão2Carlos Henggeler Antunes3INESC Coimbra, University of Coimbra, DEEC, Polo II, 3030-290 Coimbra, Portugal; Corresponding author: University of Coimbra, Coimbra, Coimbra PORTUGAL.University of Sherbrooke, Department of Electrical and Computer Engineering, Sherbrooke, QC, J1K 2R1, CanadaINESC Coimbra, University of Coimbra, DEEC, Polo II, 3030-290 Coimbra, Portugal; University of Sherbrooke, Department of Electrical and Computer Engineering, Sherbrooke, QC, J1K 2R1, Canada; Polytechnic Institute of Coimbra, IPC-ISEC, DEE, 3030-199 Coimbra, PortugalINESC Coimbra, University of Coimbra, DEEC, Polo II, 3030-290 Coimbra, Portugal; University of Coimbra, Department of Electrical and Computer Engineering, Polo II, 3030-290 Coimbra, PortugalThe shift to sustainable transportation presents challenges regarding the acquisition or replacement of bus fleets. The need to consider multiple, conflicting and incommensurate factors such as environmental impact, cost-effectiveness, and technological issues makes the decision-making process more complex, time-consuming, and possibly ineffective, thus requiring an adequate multi-criteria evaluation framework. To this end, this study employs the stochastic multi-criteria acceptability analysis method, assessing the feasibility of transitioning to eco-friendly bus fleets by comparing diesel, hybrid, and electric buses while addressing uncertainty. Using the bus transportation system of Sherbrooke (Canada) as a case study, computational simulations generate energy consumption data and define bus system configurations. The case study evaluates five concrete alternatives over twelve criteria. The results show that an electric bus system with an overnight charging strategy outperforms other options (in 32 % of the cases) due to its reliability, cost-effectiveness, and mixed use of the bus fleet. Conversely, the diesel bus alternative consistently ranks lowest due to poor performance on economic and environmental criteria.http://www.sciencedirect.com/science/article/pii/S2666188825002217Multi-criteria decision analysisStochastic multi-criteria acceptability analysis (SMAA)bus fleetsSustainable transportationUncertainty
spellingShingle Jônatas Augusto Manzolli
Pascal Messier
João Pedro F. Trovão
Carlos Henggeler Antunes
Decision-making in bus-transit systems: A comprehensive approach based on stochastic multi-criteria acceptability analysis
Sustainable Futures
Multi-criteria decision analysis
Stochastic multi-criteria acceptability analysis (SMAA)
bus fleets
Sustainable transportation
Uncertainty
title Decision-making in bus-transit systems: A comprehensive approach based on stochastic multi-criteria acceptability analysis
title_full Decision-making in bus-transit systems: A comprehensive approach based on stochastic multi-criteria acceptability analysis
title_fullStr Decision-making in bus-transit systems: A comprehensive approach based on stochastic multi-criteria acceptability analysis
title_full_unstemmed Decision-making in bus-transit systems: A comprehensive approach based on stochastic multi-criteria acceptability analysis
title_short Decision-making in bus-transit systems: A comprehensive approach based on stochastic multi-criteria acceptability analysis
title_sort decision making in bus transit systems a comprehensive approach based on stochastic multi criteria acceptability analysis
topic Multi-criteria decision analysis
Stochastic multi-criteria acceptability analysis (SMAA)
bus fleets
Sustainable transportation
Uncertainty
url http://www.sciencedirect.com/science/article/pii/S2666188825002217
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AT joaopedroftrovao decisionmakinginbustransitsystemsacomprehensiveapproachbasedonstochasticmulticriteriaacceptabilityanalysis
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